Statistical Techniques for Network Security - Modern Statistically-based Intrusion Detection and Protection (Hardcover)

Intrusion detection and protection is a key component in the framework of the computer and network security area. Although various classification algorithms and approaches have been developed and proposed over the last decade, the statistically-based method remains the most common approach to anomaly intrusion detection.""Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection"" bridges between applied statistical modeling techniques and network security to provide statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covering in-depth topics such as network traffic data, anomaly intrusion detection, and prediction events, this authoritative source collects must-read research for network administrators, information and network security professionals, statistics and computer science learners, and researchers in related fields.

General

Imprint:	Information Science Reference
Country of origin:	United States
Release date:	October 2008
First published:	October 2008
Authors:	Yun Wang
Dimensions:	254 x 178 x 26mm (L x W x T)
Format:	Hardcover
Pages:	486
ISBN-13:	978-1-59904-708-9
Categories:	Books > Computing & IT > Computer communications & networking > Network security
LSN:	1-59904-708-X
Barcode:	9781599047089

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